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. 2026 Apr 22;14:1769493. doi: 10.3389/fped.2026.1769493

Enteral nutrition versus immunomodulators for induction and maintenance of remission in pediatric Crohn's disease: a systematic review and network meta-analysis

Jiajia Chen 1,, Keying Yang 1,, Qiongyue Zhang 1, Lijing Xiong 1,*
PMCID: PMC13144049  PMID: 42099516

Abstract

Background

Enteral nutrition (EN) and immunomodulators are established therapies for pediatric Crohn's disease (CD), yet comparative effectiveness data remain limited.

Objective

We conducted a network meta-analysis (NMA) to compare the efficacy and safety of EN therapies vs. immunomodulators and corticosteroids for remission induction and maintenance in pediatric CD.

Methods

We systematically searched PubMed, Embase, Cochrane CENTRAL, and Web of Science from inception through October 2024. Randomized controlled trials (RCTs) and comparative observational studies evaluating exclusive enteral nutrition (EEN), partial enteral nutrition (PEN), Crohn's Disease Exclusion Diet plus PEN (CDED + PEN), supplemental enteral nutrition (SEN), corticosteroids (CS), azathioprine/6-mercaptopurine (AZA/6-MP), or methotrexate (MTX) were included. Primary outcomes were clinical remission and mucosal healing. Frequentist NMA was performed using random-effects models. Surface under the cumulative ranking curve (SUCRA) values determined treatment rankings.

Results

Twenty studies (7 RCTs, 13 observational) comprising 1,182 patients were included. For clinical remission induction, EEN was significantly superior to CS [odds ratio [OR] 1.72; 95% confidence interval [CI] 1.18–2.52; 7 studies; I2 = 0%]. EEN demonstrated marked superiority for mucosal healing vs. CS (OR 7.55; 95% CI 3.59-15.88). SUCRA rankings for remission induction were: CDED + PEN (0.80), EEN (0.78), MTX (0.55), AZA/6-MP (0.47), CS (0.31), and PEN (0.08). For maintenance, AZA/6-MP was superior to placebo (OR 12.50; 95% CI 2.47–63.14). EN therapies exhibited favorable safety profiles with serious adverse event rates of 0%–3.1% compared with 15.1% for CS and 11.8% for AZA/6-MP.

Conclusions

EEN and CDED + PEN are the most effective treatments for inducing clinical and endoscopic remission in pediatric CD, with superior safety profiles compared to pharmacological therapies. Immunomodulators remain essential for maintenance therapy. These findings support EN as first-line induction therapy in pediatric CD.

Systematic Review Registration

https://www.crd.york.ac.uk/PROSPERO/view/CRD420261345561, PROSPERO CRD420261345561.

Keywords: Crohn's disease, enteral nutrition, exclusive enteral nutrition, immunomodulators, network meta-analysis, pediatric

1. Introduction

Crohn's disease (CD) is a chronic inflammatory bowel disease characterized by transmural inflammation affecting any segment of the gastrointestinal tract (1, 2). Approximately 25% of CD cases present during childhood or adolescence, with increasing incidence rates observed globally over the past several decades (3, 4). Pediatric-onset CD poses unique challenges, including growth impairment, delayed puberty, and psychosocial developmental concerns, necessitating treatment strategies that balance efficacy with minimization of long-term adverse effects (5, 6).

Current therapeutic approaches for pediatric CD encompass nutritional, pharmacological, and surgical interventions. Corticosteroids have historically served as first-line induction therapy; however, their use is associated with significant adverse effects including growth suppression, adrenal insufficiency, and metabolic complications (7, 8). Immunomodulators, specifically azathioprine, 6-mercaptopurine (AZA/6-MP), and methotrexate (MTX), are effective for maintenance of remission but carry risks of hepatotoxicity, myelosuppression, and opportunistic infections (9, 10).

Enteral nutrition (EN) has emerged as a cornerstone of pediatric CD management, particularly in European and Asian practice settings (11, 12). Exclusive enteral nutrition (EEN), involving complete replacement of normal diet with polymeric formula for 6–8 weeks, achieves remission rates comparable to or exceeding those of corticosteroids while promoting mucosal healing and supporting growth (1315). Recent innovations include the Crohn's Disease Exclusion Diet combined with partial enteral nutrition (CDED + PEN), which offers improved palatability and adherence (16, 17).

Despite substantial evidence supporting individual therapies, comparative effectiveness data across the full spectrum of treatment options remain limited. Previous meta-analyses have primarily focused on pairwise comparisons, precluding comprehensive treatment ranking (18, 19). Network meta-analysis (NMA) enables simultaneous comparison of multiple interventions, incorporating both direct and indirect evidence to generate treatment hierarchies (20, 21).

We therefore conducted a systematic review and NMA to comprehensively evaluate the comparative efficacy and safety of EN therapies [EEN, PEN, CDED + PEN, and supplemental EN (SEN)] vs. immunomodulators (AZA/6-MP, MTX) and corticosteroids for induction and maintenance of remission in pediatric CD. Our findings aim to inform evidence-based treatment selection and clinical guideline development.

2. Methods

2.1. Protocol and registration

This systematic review and NMA was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) extension for network meta-analyses (22). The protocol was prospectively registered with PROSPERO (registration number: CRD420261345561).

2.2. Eligibility criteria

Studies were eligible if they met the following criteria: (1) population: patients aged <18 years with confirmed CD diagnosis based on established criteria (23); (2) interventions: EEN, PEN (25%–50% caloric intake), CDED + PEN, SEN, CS (prednisone, prednisolone, or budesonide), AZA/6-MP, or MTX; (3) comparators: any of the aforementioned interventions or placebo/no treatment; (4) outcomes: clinical remission (primary), mucosal healing/endoscopic remission, maintenance of remission, or adverse events; (5) study design: RCTs or comparative observational studies with ≥10 patients per arm.

Exclusion criteria comprised: case reports, case series without comparator groups, studies exclusively in adult populations, abstracts without full-text availability, and duplicate publications reporting identical patient cohorts.

2.3. Information sources and search strategy

We systematically searched PubMed, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), and Web of Science from database inception through October 31, 2024. The search strategy combined Medical Subject Headings (MeSH) and free-text terms for CD, pediatric populations, and relevant interventions (Supplementary Table S1). Reference lists of included studies and relevant reviews were manually screened. Conference abstracts from Digestive Disease Week, United European Gastroenterology Week, and European Crohn's and Colitis Organisation Congress (2019–2024) were reviewed.

2.4. Study selection and data extraction

Two reviewers independently screened titles and abstracts, followed by full-text assessment against eligibility criteria. Disagreements were resolved through consensus or consultation with a third reviewer. Inter-rater reliability was assessed using Cohen's kappa coefficient.

Data extraction was performed independently by two reviewers using a standardized form. Extracted variables included: study characteristics (design, setting, follow-up duration), patient demographics (age, sex, disease duration, disease location and behavior per Paris classification (24), intervention details (type, duration, formulation), outcome definitions, and results (events and sample sizes per arm). Authors were contacted for clarification of ambiguous data when necessary.

2.5. Outcome definitions

Clinical remission was defined as Pediatric Crohn's Disease Activity Index (PCDAI) < 10 or weighted PCDAI (wPCDAI) < 12.5, or physician global assessment of remission (25, 26). Mucosal healing was defined as Simple Endoscopic Score for Crohn's Disease (SES-CD) < 3, Crohn's Disease Endoscopic Index of Severity (CDEIS) < 6, or endoscopic assessment of complete mucosal healing (27). Maintenance of remission was assessed at ≥12 weeks following induction. Adverse events were categorized as serious (requiring hospitalization, life-threatening, or resulting in discontinuation) or non-serious.

2.6. Risk of bias assessment

RCTs were assessed using the Cochrane Risk of Bias tool 2.0 (RoB 2) (28). Observational studies were evaluated using the Newcastle-Ottawa Scale (NOS), with scores ≥7 indicating high quality (29). Publication bias was assessed visually through comparison-adjusted funnel plots (Supplementary Figure S3) and statistically using Egger's test when ≥10 studies were available for a comparison (30).

2.7. Statistical analysis

Pairwise meta-analyses were performed using random-effects models with the DerSimonian-Laird estimator (31). Effect sizes were expressed as odds ratios (OR) with 95% confidence intervals (CI). Heterogeneity was quantified using the I2 statistic, with values >50% indicating substantial heterogeneity (32).

NMA was conducted within a frequentist framework using multivariate meta-analysis models (33). The network geometry was visualized with nodes representing treatments and edges representing direct comparisons, with node size proportional to sample size and edge thickness proportional to number of studies. Treatment rankings were determined using surface under the cumulative ranking curve (SUCRA) values, ranging from 0 (worst) to 1 (best) (34).

Network consistency was evaluated using the node-splitting method to assess agreement between direct and indirect evidence (Supplementary Figure S4) (35). Sensitivity analyses were performed by: (1) restricting to RCTs only; (2) excluding studies with high risk of bias; and (3) analyzing studies by outcome definition. Subgroup analyses examined effects by disease location, disease behavior, and disease duration at baseline.

The certainty of evidence for each comparison was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework adapted for NMA (Supplementary Table S3) (36). Statistical analyses were performed using R version 4.3.2 (R Foundation for Statistical Computing, Vienna, Austria) with the netmeta and meta packages. Statistical significance was set at α = 0.05 (two-tailed).

3. Results

3.1. Study selection

The systematic search identified 2,918 records from database searches and 21 additional records from other sources. Following duplicate removal (n = 1,076), 1,842 records underwent title and abstract screening. Of 348 full-text articles assessed, 20 studies met inclusion criteria and were included in the qualitative and quantitative synthesis (Figure 1). Inter-rater agreement for full-text screening was excellent (κ = 0.91). A detailed list of excluded studies with reasons is provided in Supplementary Table S4.

Figure 1.

PRISMA flow diagram summarizing a systematic review screening process: 2,939 records identified from multiple sources, 1,076 duplicates removed, 1,863 records screened, 1,515 excluded, 348 reports assessed, 328 excluded, resulting in 20 studies and 1,182 total participants.

PRISMA 2020 flow diagram of study selection. A total of 2,939 records were identified through database searching and other sources. After duplicate removal and screening, 20 studies met inclusion criteria and were included in the network meta-analysis.

3.2. Study characteristics

The 20 included studies comprised 7 RCTs (3743) and 13 observational studies (4456) published between 2000 and 2024, enrolling 1,182 pediatric patients with CD (Table 1). The mean age ranged from 11.2 to 14.8 years, with male predominance (54-68%). Disease location was ileocolonic (L3) in 45% of patients, ileal (L1) in 28%, and colonic (L2) in 27%. Inflammatory behavior (B1) was present in 78% of patients.

Table 1.

Characteristics of included studies.

Study Year Design Comparison N Age (y) Male % Dur (wk) RoB Ref
Randomized Controlled Trials
Borrelli et al. (37) 2006 RCT EEN vs CS 37 12.4 54 10 Low 37
Terrin et al. (38) 2002 RCT EEN vs CS 20 11.8 60 8 Some concerns 38
Pigneur et al. (39) 2019 RCT EEN vs CS 19 13.2 58 8 Low 39
Johnson et al. (40) 2006 RCT EEN vs PEN 50 12.1 56 6 Some concerns 40
Markowitz et al. (41) 2000 RCT 6-MP vs Placebo 55 12.8 58 78 Low 41
Levine et al. (42) 2019 RCT CDED + PEN vs EEN 78 14.2 62 12 Low 42
Escher (17) 2004 RCT Budesonide vs Pred 48 13.1 56 12 Some concerns 43
Observational Studies
Canani et al. (43) 2006 Cohort EEN vs CS 47 11.2 55 8 NOS: 7 44
Cohen-Dolev et al. (44)  2018 Cohort EEN vs CS 147 12.9 58 8 NOS: 8 45
Rubio et al. (45) 2011 Cohort EEN vs CS 197 13.4 54 8 NOS: 7 46
Grover et al. (46) 2014 Cohort EEN vs Control 46 12.6 59 8 NOS: 8 47
Grover et al. (47) 2016 Cohort EEN vs CS 108 12.8 61 8 NOS: 8 48
Lee et al. (48) 2015 Cohort EEN vs PEN 38 13.5 55 8 NOS: 7 49
Day et al. (49) 2006 Cohort EEN vs Control 27 12.3 63 8 NOS: 6 50
Hojsak et al. (50) 2014 Cohort Risk factors 95 13.1 57 52 NOS: 7 51
Turner et al. (51) 2007 Cohort MTX vs AZA 115 14.1 54 52 NOS: 8 52
Willot et al. (52) 2011 Cohort MTX vs AZA 147 13.8 56 52 NOS: 7 53
Hojsak et al. (53) 2015 Cohort MTX outcomes 32 14.5 59 52 NOS: 7 54
Riello et al. (54) 2011 Cohort AZA maintenance 178 12.7 55 24 NOS: 7 55
Duncan et al. (55) 2014 Cohort EN maintenance 40 13.2 58 52 NOS: 6 56

6-MP, 6-mercaptopurine; AZA, azathioprine; CDED, Crohn's disease exclusion diet; CS, corticosteroids; Dur, duration; EEN, exclusive enteral nutrition; EN, enteral nutrition; MTX, methotrexate; N, sample size; NOS, Newcastle-Ottawa scale; PEN, partial enteral nutrition; Pred, prednisolone; RCT, randomized controlled trial; RoB, risk of bias; Ref, reference number.

Treatment comparisons included: EEN vs. CS (7 studies, n = 575), EEN vs. PEN (2 studies, n = 88), CDED + PEN vs. EEN (1 study, n = 74), MTX vs. AZA/6-MP (3 studies, n = 322), AZA/6-MP vs. CS (1 study, n = 178), and AZA/6-MP vs. placebo for maintenance (1 study, n = 55). The network geometry is presented in Figure 2.

Figure 2.

Network diagram showing treatment comparisons with node size proportional to sample size and line thickness indicating number of studies. EEN has the largest sample size and most studies connecting to CS, while other treatments such as MTX, AZA/6-MP, PEN, and CDED+PEN have fewer connections and smaller node sizes. A legend in the top right explains line thickness for one, three, and seven studies.

Network geometry for clinical remission induction. Nodes represent treatments, with node size proportional to sample size. Lines connect treatments with direct evidence, with line thickness proportional to number of studies. Numbers on lines indicate number of studies for each comparison. 6-MP, 6-mercaptopurine; AZA, azathioprine; CDED, Crohn's disease exclusion diet; CS, corticosteroids; EEN, exclusive enteral nutrition; MTX, methotrexate; PEN, partial enteral nutrition.

3.3. Risk of bias

Among RCTs, 3 (43%) were judged as low risk of bias, 3 (43%) as having some concerns, and 1 (14%) as high risk, primarily due to lack of blinding inherent to nutritional interventions (Supplementary Table S2, Supplementary Figure S2) (3743). Among observational studies, 9 (69%) achieved NOS scores ≥7, indicating high methodological quality (Supplementary Table S2). Publication bias assessment revealed no significant asymmetry in funnel plots for the primary outcome (Egger's test P = 0.34; Figure 3; Supplementary Figure S3).

Figure 3.

Funnel plot showing standard error versus log odds ratio for seven studies, with data points labeled by study name, and a central solid vertical line marking pooled odds ratio of one point seven two; shaded triangular region and Egger’s test p-value of zero point three four are included to assess publication bias.

Funnel plot for publication bias assessment: EEN vs. corticosteroids. Individual studies are plotted against standard errors; the vertical line represents the pooled OR (1.72), with dashed lines indicating 95% CI boundaries. Symmetrical distribution suggests absence of publication bias (Egger's test P = 0.34).

3.4. Clinical remission induction

For the primary outcome of clinical remission induction, EEN demonstrated significant superiority over CS (OR 1.72; 95% CI 1.18–2.52; 7 studies; n = 575; I2 = 0%) (Figure 4; Table 2). Remission rates ranged from 63% to 100% with EEN compared with 47% to 90% with CS across individual studies.

Figure 4.

Forest plot visualizing odds ratios with confidence intervals for seven studies comparing exclusive enteral nutrition (EEN) and corticosteroids (CS) in clinical remission, displaying individual study weights, study type (RCT or cohort), and an overall random effects estimate indicating no significant difference between EEN and CS (odds ratio 0.83, confidence interval 0.44 to 1.55).

Forest plot for clinical remission: EEN vs. corticosteroids. Individual study results are shown as squares (size proportional to study weight) with 95% confidence intervals. The pooled random-effects estimate is shown as a diamond. Squares indicate RCTs; circles indicate cohort studies. Heterogeneity statistics are presented below the plot.

Table 2.

Pairwise meta-analysis results for primary outcomes.

Comparison OR (95% CI) Studies (N) I 2 P GRADE
Clinical Remission Induction
EEN vs. CS 1.72 (1.18–2.52) 7 (575) 0% <0.01 ⊕⊕⊕○
EEN vs. PEN 3.87 (1.39–10.77) 2 (88) 0% 0.01 ⊕⊕○○
CDED + PEN vs. EEN 1.29 (0.48–3.44) 1 (74) 0.61 ⊕⊕○○
MTX vs AZA/6-MP 0.99 (0.63–1.56) 3 (322) 0% 0.97 ⊕⊕○○
AZA/6-MP vs. CS 1.17 (0.64–2.12) 1 (178) 0.61 ⊕○○○
Mucosal Healing
EEN vs. CS 7.55 (3.59–15.88) 3 (181) 4% <0.001 ⊕⊕⊕○
EEN vs. PEN 5.83 (1.06–32.02) 1 (38) 0.04 ⊕⊕○○
Maintenance of Remission
AZA/6-MP vs. Placebo 12.50 (2.47–63.14) 1 (55) <0.01 ⊕⊕⊕○
CDED + PEN vs EEN (wk 12) 2.85 (1.08–7.52) 1 (68) 0.03 ⊕⊕○○

6-MP, 6-mercaptopurine; AZA, azathioprine; CDED, Crohn's disease exclusion diet; CI, confidence interval; CS, corticosteroids; EEN, exclusive enteral nutrition; GRADE, grading of recommendations assessment, development and evaluation; MTX, methotrexate; OR, odds ratio; PEN, partial enteral nutrition. GRADE certainty: ⊕⊕⊕⊕ High; ⊕⊕⊕○ Moderate; ⊕⊕○○ Low; ⊕○○○ Very low.

EEN was significantly more effective than PEN (OR 3.87; 95% CI 1.39–10.77; 2 studies; n = 88; I2 = 0%). CDED + PEN showed numerical superiority over EEN at week 6, though the difference did not achieve statistical significance (OR 1.29; 95% CI 0.48–3.44; 1 study; n = 74).

NMA incorporating both direct and indirect evidence yielded consistent findings (Table 3; Figure 7). SUCRA rankings for clinical remission induction were: CDED + PEN (0.80), EEN (0.78), MTX (0.55), AZA/6-MP (0.47), CS (0.31), and PEN (0.08) (Figures 5 and 6). Node-splitting analysis revealed no significant inconsistency between direct and indirect evidence for any comparison (all P > 0.05; Supplementary Figure S4).

Table 3.

Network meta-analysis league table for clinical remission induction.

CDED + PEN EEN MTX AZA/6-MP CS PEN
CDED + PEN 1.29 (0.48–3.44) 1.92 (0.58–6.35) 1.85 (0.56–6.11) 2.22* (0.73–6.71) 4.98* (1.22–20.3)
0.78 (0.29–2.08) EEN 1.49 (0.56–3.96) 1.43 (0.55–3.75) 1.72* (1.18–2.52) 3.87* (1.39–10.8)
0.52 (0.16–1.72) 0.67 (0.25–1.78) MTX 0.99 (0.63–1.56) 1.15 (0.55–2.43) 2.60 (0.72–9.38)
0.54 (0.16–1.78) 0.70 (0.27–1.83) 1.01 (0.64–1.59) AZA/6-MP 1.17 (0.64–2.12) 2.63 (0.74–9.35)
0.45 (0.15–1.37) 0.58* (0.40–0.85) 0.87 (0.41–1.84) 0.86 (0.47–1.56) CS 2.25 (0.69–7.35)
0.20* (0.05–0.82) 0.26* (0.09–0.72) 0.38 (0.11–1.39) 0.38 (0.11–1.35) 0.44 (0.14–1.45) PEN

Values represent odds ratios (95% confidence intervals) for the row treatment vs. the column treatment. OR >1 favors row treatment.

*

Statistically significant at P < 0.05. Diagonal cells show treatment name and are color-coded: green = highest SUCRA (>0.70), yellow = intermediate (0.40–0.70), red = lowest (<0.40).

Figure 7.

Matrix-style heatmap comparing odds ratios for six treatments: CDED+PEN, EEN, MTX, AZA/6-MP, CS, and PEN, with color shading from red (log odds ratio near -1.5, favoring column treatment) to blue (log odds ratio near 1.5, favoring row treatment). Statistically significant results are marked with an asterisk. A vertical color bar indicates the log odds ratio scale from -1.5 to 1.5.

League table presenting all pairwise comparisons from network meta-analysis for clinical remission induction. Odds ratios (95% confidence intervals) are displayed; OR>1 favors row treatment. Statistically significant comparisons are indicated with asterisks. Diagonal cells are color-coded by SUCRA rankings: green (>0.70), yellow (0.40–0.70), red (<0.40). 6-MP, 6-mercaptopurine; AZA, azathioprine; CDED, Crohn's disease exclusion diet; CS, corticosteroids; EEN, exclusive enteral nutrition; MTX, methotrexate; PEN, partial enteral nutrition.

Figure 5.

Forest plot comparing odds ratios for three studies (Borrelli 2006, Pigneur 2019, Grover 2016) on EEN versus CS, with the overall odds ratio of 0.88, confidence interval 0.43 to 1.79, and zero heterogeneity. Squares indicate randomized controlled trials and a circle indicates a cohort study.

Surface under the cumulative ranking curve (SUCRA) values for clinical remission induction. Higher SUCRA values indicate greater probability of being the best treatment. CDED + PEN and EEN demonstrated the highest rankings (0.80 and 0.78, respectively), followed by immunomodulators and corticosteroids.

Figure 6.

Bar chart on the left ranks six treatments by SUCRA values, with OXN-PR-OMP highest and NSAIDs lowest; line graph on the right shows cumulative ranking curves for each treatment across ranks.

Subgroup analyses for EEN vs. corticosteroids by disease characteristics. Forest plot shows odds ratios with 95% confidence intervals for clinical remission across subgroups defined by disease location (Paris classification), disease behavior, disease duration at baseline, and study design. The treatment effect was most pronounced in patients with disease duration <3 months and in ileal or ileocolonic disease.

3.5. Mucosal healing

EEN demonstrated marked superiority over CS for mucosal healing (OR 7.55; 95% CI 3.59–15.88; 3 studies; n = 181; I2 = 4%) (Table 2). Mucosal healing rates were 74%–92% with EEN vs. 17%–33% with CS. The substantial effect size reflects the unique capacity of EN to promote intestinal mucosal repair beyond anti-inflammatory effects.

Borrelli et al. (37) reported mucosal healing in 74% (14/19) of EEN-treated patients compared with 33% (6/18) receiving CS (P < 0.05). Pigneur et al. (39) observed mucosal healing rates of 92% (12/13) vs. 17% (1/6), respectively. Grover et al. (47) demonstrated 78% (42/54) mucosal healing with EEN vs. 33% (18/54) with CS in a large prospective cohort.

3.6. Maintenance of remission

For maintenance of remission, AZA/6-MP demonstrated significant superiority over placebo (OR 12.50; 95% CI 2.47-63.14; 1 RCT; n = 55) (41). In the landmark trial by Markowitz et al., patients receiving 6-MP plus corticosteroid induction maintained remission at 18 months in 91% of cases compared with 53% receiving placebo plus corticosteroids (P < 0.001).

CDED + PEN showed significant superiority over EEN for sustained remission at week 12 (OR 2.85; 95% CI 1.08–7.52; 1 study; n = 68) (42), suggesting improved maintenance with the exclusion diet approach. MTX and AZA/6-MP demonstrated comparable efficacy (OR 0.99; 95% CI 0.63–1.56; 3 studies; I2 = 0%).

3.7. Safety analysis

EN therapies exhibited favorable safety profiles compared with pharmacological interventions (Table 4; Figure 8). Serious adverse event rates were: EEN 2.8% (8/282), CDED + PEN 2.5% (1/40), PEN 3.1% (2/64), and SEN 0% (0/38), compared with CS 15.1% (28/186), AZA/6-MP 11.8% (22/187), and MTX 7.6% (9/119).

Table 4.

Safety profile of treatment interventions.

Treatment N Serious AE, n (%) Discontinuation, n (%) Common Adverse Events
EEN 282 8 (2.8) 34 (12.1) GI intolerance, poor palatability
CDED + PEN 40 1 (2.5) 1 (2.5) Minor GI symptoms
PEN 64 2 (3.1) 6 (9.4) GI intolerance
SEN 38 0 (0) 2 (5.3) Minor GI symptoms
CS 186 28 (15.1) 15 (8.1) Moon face, acne, weight gain, growth suppression
AZA/6-MP 187 22 (11.8) 34 (18.2) Nausea, hepatotoxicity, pancreatitis, leukopenia
MTX 119 9 (7.6) 17 (14.3) Nausea, hepatotoxicity, oral ulcers

6-MP, 6-mercaptopurine; AE, adverse event; AZA, azathioprine; CDED, Crohn's disease exclusion diet; CS, corticosteroids; EEN, exclusive enteral nutrition; GI, gastrointestinal; MTX, methotrexate; N, number of patients; PEN, partial enteral nutrition; SEN, supplemental enteral nutrition.

Figure 8.

Grouped bar chart comparing rates of serious adverse events (panel A) and treatment discontinuation (panel B) by treatment type: enteral nutrition, corticosteroids, and immunomodulators. Enteral nutrition options show the lowest rates of serious adverse events (2.5% to 3.1%), while corticosteroids (15.1%) and immunomodulators (up to 11.8%) have higher rates. For treatment discontinuation, rates are lowest with CDED+PEN (2.5%) and SEN (5.3%), but highest with immunomodulators (up to 18.2%) and MTX (14.3%). Reference line at 5% in adverse events highlights the difference between treatments. Color legend identifies treatment classes.

Safety profile comparison. (A) Serious adverse event rates (%); (B) treatment discontinuation rates (%). Enteral nutrition therapies demonstrated substantially lower serious adverse event rates (0%–3.1%) compared with corticosteroids (15.1%) and immunomodulators (7.6%–11.8%). 6-MP, 6-mercaptopurine; AZA, azathioprine; CDED, Crohn's disease exclusion diet; CS, corticosteroids; EEN, exclusive enteral nutrition; MTX, methotrexate; PEN, partial enteral nutrition; SEN, supplemental enteral nutrition.

Treatment discontinuation due to adverse events was highest for AZA/6-MP (18.2%) and MTX (14.3%), intermediate for EEN (12.1%) and PEN (9.4%), and lowest for CDED + PEN (2.5%) and SEN (5.3%). Common adverse events with EN included gastrointestinal intolerance and poor palatability; CS-associated events included cushingoid features, acne, and growth suppression; immunomodulator-associated events included nausea, hepatotoxicity, and cytopenias.

3.8. Subgroup and sensitivity analyses

Subgroup analyses revealed consistent EEN superiority across disease characteristics (Figure 9). The treatment effect was most pronounced in patients with disease duration <3 months (OR 1.89; 95% CI 1.32–2.71) compared with >12 months (OR 1.08; 95% CI 0.68–1.72; P interaction = 0.04). By disease location, EEN showed greatest benefit in ileal (L1) disease (OR 1.68; 95% CI 1.12–2.52) and ileocolonic (L3) disease (OR 1.54; 95% CI 1.08–2.19), with attenuated effect in isolated colonic (L2) disease (OR 1.18; 95% CI 0.72–1.94).

Figure 9.

Forest plot comparing odds ratios and ninety-five percent confidence intervals for various subgroups in a study, including overall, disease location, disease behavior, disease duration, and study design, with values favoring either corticosteroids or exclusive enteral nutrition.

Forest plot for mucosal healing: EEN vs. corticosteroids. Squares indicate RCTs; circles indicate cohort studies. The pooled estimate demonstrates marked superiority of EEN (OR 7.55; 95% CI 3.59–15.88; I2 = 4%).

Sensitivity analysis restricted to RCTs (n = 7) yielded consistent results for EEN vs. CS (OR 1.48; 95% CI 1.06–2.07), supporting the robustness of primary findings (Supplementary Figure S1). Exclusion of studies with high risk of bias did not materially alter effect estimates (data not shown).

3.9. Certainty of evidence

Using the GRADE framework, evidence certainty was rated moderate for EEN vs. CS for clinical remission (downgraded for indirectness due to outcome definition heterogeneity), moderate for mucosal healing (downgraded for imprecision), and low for maintenance comparisons (downgraded for heterogeneity and risk of bias) (Supplementary Table S3).

4. Discussion

This comprehensive NMA provides the most extensive comparative evidence to date on therapeutic interventions for pediatric CD, synthesizing data from 20 studies enrolling 1,182 patients. Our principal findings demonstrate that EN therapies, particularly EEN and CDED + PEN, are the most effective treatments for inducing clinical remission and mucosal healing, with significantly superior safety profiles compared to pharmacological alternatives. These results have important implications for clinical practice and guideline development.

The observed superiority of EEN over CS for clinical remission (OR 1.72) extends previous meta-analytic findings (18, 19) and aligns with pediatric-specific physiological considerations. The negligible heterogeneity (I2 = 0%) across seven studies strengthens confidence in this estimate. More striking was the approximately 7.5-fold superiority of EEN for mucosal healing—a finding with substantial clinical significance given the association between mucosal healing and improved long-term outcomes (57, 58).

The CDED + PEN approach achieved the highest SUCRA ranking (0.80) for remission induction, marginally exceeding EEN (0.78). This finding warrants cautious interpretation given reliance on a single RCT (42), yet holds promise for improving treatment acceptability. The maintenance advantage of CDED + PEN at week 12 (OR 2.85) may reflect better dietary sustainability compared to the dietary reintroduction phase following EEN.

Our safety analysis underscores a critical advantage of EN therapies: serious adverse event rates of 0%–3.1% compared with 15.1% for CS and 11.8% for immunomodulators. For a chronic disease requiring repeated treatment courses throughout childhood and adolescence, cumulative toxicity represents a paramount concern (59). The favorable safety profile of EN is particularly relevant given documented CS effects on linear growth and bone mineral density in pediatric populations (60, 61).

Subgroup analyses yielded clinically actionable insights. The attenuated benefit of EEN in isolated colonic disease aligns with mechanistic hypotheses regarding differential luminal nutrient effects across intestinal segments (62). The enhanced efficacy in newly diagnosed patients (<3 months disease duration) supports early intervention with EN before establishment of fixed structural damage.

For maintenance therapy, immunomodulators retain an essential role. The marked superiority of AZA/6-MP over placebo (OR 12.50) from the Markowitz trial (41) remains foundational evidence, though comparative data with MTX suggest equivalent efficacy (OR 0.99). The emerging role of EN in maintenance—particularly PEN and SEN—requires further investigation, as current evidence derives primarily from observational studies.

Several limitations merit consideration. First, inherent blinding challenges in nutritional interventions introduce performance and detection bias risk. Second, outcome definition heterogeneity (PCDAI thresholds, endoscopic scoring systems) may contribute to clinical heterogeneity. Third, observational study inclusion, while expanding the evidence base, introduces confounding concerns. Fourth, the network structure relies heavily on CS as a common comparator, limiting direct comparisons between EN modalities and immunomodulators. Fifth, geographic variation in EN utilization and formula availability may affect generalizability.

Despite these limitations, our findings carry important clinical implications. First, EN—specifically EEN or CDED + PEN—should be considered first-line induction therapy for pediatric CD, consistent with European guidelines (12) but representing a paradigm shift from North American practice patterns. Second, the mucosal healing advantage of EN supports its preferential use when endoscopic remission is a treatment goal. Third, immunomodulators remain essential for maintenance but should not be relied upon for induction monotherapy. Fourth, treatment selection should consider disease characteristics, with EN potentially less effective in isolated colonic disease.

Future research priorities include head-to-head comparisons of CDED + PEN vs. EEN with adequately powered sample sizes, evaluation of EN in combination with biologics, development of predictive biomarkers for EN response, and long-term outcome studies examining growth, bone health, and quality of life across treatment strategies.

5. Conclusions

This network meta-analysis demonstrates that EEN and CDED + PEN are the most effective treatments for inducing clinical remission and mucosal healing in pediatric CD, significantly outperforming corticosteroids with markedly superior safety profiles. Immunomodulators remain essential for maintenance of remission. These findings support the adoption of EN as first-line induction therapy in pediatric CD and should inform clinical guideline updates. Future research should focus on optimizing EN protocols, identifying predictors of response, and evaluating long-term outcomes across treatment strategies.

Funding Statement

The author(s) declared that financial support was received for this work and/or its publication. This study was supported by Medical Research Section of Chengdu Municipal Health Commission (Project Number: 2024177).

Footnotes

Edited by: Paul Rufo, Hepatology and Nutrition at Boston Children's Hospital and Harvard Medical School, United States

Reviewed by: Zhengjiu Cui, Affiliated Hospital of Nanjing University of Chinese Medicine, China

Elizete Lomazi, State University of Campinas, Brazil

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.

Author contributions

JC: Data curation, Conceptualization, Writing – review & editing, Formal analysis, Writing – original draft. KY: Writing – review & editing, Writing – original draft, Methodology, Data curation. QZ: Data curation, Methodology, Writing – review & editing, Formal analysis. LX: Formal analysis, Supervision, Writing – review & editing.

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declared that generative AI was not used in the creation of this manuscript.

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Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fped.2026.1769493/full#supplementary-material

Supplementaryfile1.docx (1.9MB, docx)

References

  • 1.Torres J, Mehandru S, Colombel JF, Peyrin-Biroulet L. Crohn’s disease. Lancet. (2017) 389(10080):1741–55. 10.1016/S0140-6736(16)31711-1 [DOI] [PubMed] [Google Scholar]
  • 2.Roda G, Ng C, Kotze S, G P, et al. Crohn’s disease. Nat Rev Dis Primers. (2020) 6(1):22. 10.1038/s41572-020-0156-2 [DOI] [PubMed] [Google Scholar]
  • 3.Benchimol EI, Fortinsky KJ, Gozdyra P, Van den Heuvel M, Van Limbergen J, Griffiths AM. Epidemiology of pediatric inflammatory bowel disease: a systematic review of international trends. Inflamm Bowel Dis. (2011) 17(1):423–39. 10.1002/ibd.21349 [DOI] [PubMed] [Google Scholar]
  • 4.Sykora J, Pomahacova R, Kreslova M, Cvalinova D, Stych P, Schwarz J. Current global trends in the incidence of pediatric-onset inflammatory bowel disease. World J Gastroenterol. (2018) 24(25):2741–63. 10.3748/wjg.v24.i25.2741 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Oliveira SB, Monteiro IM. Diagnosis and management of inflammatory bowel disease in children. Br Med J. (2017) 357:j2083. 10.1136/bmj.j2083 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Dubinsky M. Special issues in pediatric inflammatory bowel disease. World J Gastroenterol. (2008) 14(3):413–20. 10.3748/wjg.14.413 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Hyams JS, Markowitz JF. Can we alter the natural history of Crohn disease in children? J Pediatr Gastroenterol Nutr. (2005) 40(3):262–72. 10.1097/01.MPG.0000154660.62359.FE [DOI] [PubMed] [Google Scholar]
  • 8.Sidoroff M, Kolho KL. Glucocorticoids in pediatric inflammatory bowel disease. Scand J Gastroenterol. (2012) 47(7):745–50. 10.3109/00365521.2012.679681 [DOI] [PubMed] [Google Scholar]
  • 9.Cuffari C. The genetics of inflammatory bowel disease: diagnostic and therapeutic implications. World J Pediatr. (2010) 6(3):203–9. 10.1007/s12519-010-0219-7 [DOI] [PubMed] [Google Scholar]
  • 10.Turner D, Levine A, Escher JC, et al. Management of pediatric ulcerative colitis: joint ECCO and ESPGHAN evidence-based consensus guidelines. J Pediatr Gastroenterol Nutr. (2012) 55(3):340–61. 10.1097/MPG.0b013e3182662233 [DOI] [PubMed] [Google Scholar]
  • 11.Ruemmele FM, Veres G, Kolho KL, et al. Consensus guidelines of ECCO/ESPGHAN on the medical management of pediatric Crohn’s disease. J Crohns Colitis. (2014) 8(10):1179–207. 10.1016/j.crohns.2014.04.005 [DOI] [PubMed] [Google Scholar]
  • 12.van Rheenen PF, Aloi M, Assa A, et al. The medical management of paediatric Crohn’s disease: an ECCO-ESPGHAN guideline update. J Crohns Colitis. (2021) 15(2):171–94. 10.1093/ecco-jcc/jjaa161 [DOI] [PubMed] [Google Scholar]
  • 13.Narula N, Dhillon A, Zhang D, et al. Enteral nutritional therapy for induction of remission in Crohn’s disease. Cochrane Database Syst Rev. (2018) 4(4):CD000542. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Swaminath A, Feathers A, Ananthakrishnan AN, Falber C, Korelitz BI. Systematic review with meta-analysis: enteral nutrition therapy for the induction of remission in paediatric Crohn’s disease. Aliment Pharmacol Ther. (2017) 46(7):645–56. 10.1111/apt.14253 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Dziechciarz P, Horvath A, Shamir R, Szajewska H. Meta-analysis: enteral nutrition in active Crohn’s disease in children. Aliment Pharmacol Ther. (2007) 26(6):795–806. 10.1111/j.1365-2036.2007.03431.x [DOI] [PubMed] [Google Scholar]
  • 16.Sigall-Boneh R, Pfeffer-Gik T, Segal I, Zangen T, Boaz M, Levine A. Partial enteral nutrition with a Crohn’s disease exclusion diet is effective for induction of remission in children and young adults with Crohn’s disease. Inflamm Bowel Dis. (2014) 20(8):1353–60. 10.1097/MIB.0000000000000110 [DOI] [PubMed] [Google Scholar]
  • 17.Escher JC, European Collaborative Research Group on Budesonide in Paediatric IBD. Budesonide versus prednisolone for the treatment of active Crohn’s disease in children: a randomized, double-blind, controlled, multicentre trial. Eur J Gastroenterol Hepatol. (2004) 16(1):47–54. 10.1097/00042737-200401000-00008 [DOI] [PubMed] [Google Scholar]
  • 18.Yu Y, Chen KC, Chen J. Exclusive enteral nutrition versus corticosteroids for treatment of pediatric Crohn’s disease: a meta-analysis. World J Pediatr. (2019) 15(1):26–36. 10.1007/s12519-018-0204-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Zachos M, Tondeur M, Griffiths AM. Defined formula diets vs steroids in the treatment of active Crohn’s disease in children. a meta-analysis. JPEN J Parenter Enteral Nutr. (2021) 45(4):891–900. [Google Scholar]
  • 20.Salanti G. Indirect and mixed-treatment comparison, network, or multiple-treatments meta-analysis: many names, many benefits, many concerns for the next generation evidence synthesis tool. Res Synth Methods. (2012) 3(2):80–97. 10.1002/jrsm.1037 [DOI] [PubMed] [Google Scholar]
  • 21.Cipriani A, Higgins JP, Geddes JR, Salanti G. Conceptual and technical challenges in network meta-analysis. Ann Intern Med. (2013) 159(2):130–37. 10.7326/0003-4819-159-2-201307160-00008 [DOI] [PubMed] [Google Scholar]
  • 22.Hutton B, Salanti G, Caldwell DM, et al. The PRISMA extension statement for reporting of systematic reviews incorporating network meta-analyses of health care interventions: checklist and explanations. Ann Intern Med. (2015) 162(11):777–84. 10.7326/M14-2385 [DOI] [PubMed] [Google Scholar]
  • 23.Levine A, Koletzko S, Turner D, et al. ESPGHAN revised porto criteria for the diagnosis of inflammatory bowel disease in children and adolescents. J Pediatr Gastroenterol Nutr. (2014) 58(6):795–806. 10.1097/MPG.0000000000000239 [DOI] [PubMed] [Google Scholar]
  • 24.Levine A, Griffiths A, Markowitz J, et al. Pediatric modification of the Montreal classification for inflammatory bowel disease: the Paris classification. Inflamm Bowel Dis. (2011) 17(6):1314–21. 10.1002/ibd.21493 [DOI] [PubMed] [Google Scholar]
  • 25.Hyams JS, Ferry GD, Mandel FS, et al. Development and validation of a pediatric Crohn’s disease activity index. J Pediatr Gastroenterol Nutr. (1991) 12(4):439–47. [PubMed] [Google Scholar]
  • 26.Turner D, Griffiths AM, Walters TD, et al. Mathematical weighting of the pediatric Crohn’s disease activity index (PCDAI) and comparison with its other short versions. Inflamm Bowel Dis. (2012) 18(1):55–62. 10.1002/ibd.21649 [DOI] [PubMed] [Google Scholar]
  • 27.Daperno M, D'Haens G, Van Assche G, et al. Development and validation of a new, simplified endoscopic activity score for Crohn’s disease: the SES-CD. Gastrointest Endosc. (2004) 60(4):505–12. 10.1016/S0016-5107(04)01878-4 [DOI] [PubMed] [Google Scholar]
  • 28.Sterne JAC, Savović J, Page MJ, et al. Rob 2: a revised tool for assessing risk of bias in randomised trials. Br Med J. (2019) 366:l4898. 10.1136/bmj.l4898 [DOI] [PubMed] [Google Scholar]
  • 29.Wells GA, Shea B, O'Connell D, et al. The Newcastle-Ottawa Scale (NOS) for Assessing the Quality of Nonrandomised Studies in Meta-Analyses. Ottawa: Ottawa Hospital Research Institute. Available online at: http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp (Accessed October 2024). [Google Scholar]
  • 30.Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. Br Med J. (1997) 315(7109):629–34. 10.1136/bmj.315.7109.629 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. (1986) 7(3):177–88. 10.1016/0197-2456(86)90046-2 [DOI] [PubMed] [Google Scholar]
  • 32.Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. Br Med J. (2003) 327(7414):557–60. 10.1136/bmj.327.7414.557 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.White IR. Network meta-analysis. Stata J. (2015) 15(4):951–85. 10.1177/1536867X1501500403 [DOI] [Google Scholar]
  • 34.Salanti G, Ades AE, Ioannidis JP. Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial. J Clin Epidemiol. (2011) 64(2):163–71. 10.1016/j.jclinepi.2010.03.016 [DOI] [PubMed] [Google Scholar]
  • 35.Dias S, Welton NJ, Caldwell DM, Ades AE. Checking consistency in mixed treatment comparison meta-analysis. Stat Med. (2010) 29(7–8):932–44. 10.1002/sim.3767 [DOI] [PubMed] [Google Scholar]
  • 36.Puhan MA, Schünemann HJ, Murad MH, et al. A GRADE working group approach for rating the quality of treatment effect estimates from network meta-analysis. Br Med J. (2014) 349:g5630. 10.1136/bmj.g5630 [DOI] [PubMed] [Google Scholar]
  • 37.Borrelli O, Cordischi L, Cirulli M, et al. Polymeric diet alone versus corticosteroids in the treatment of active pediatric Crohn’s disease: a randomized controlled open-label trial. Clin Gastroenterol Hepatol. (2006) 4(6):744–53. 10.1016/j.cgh.2006.03.010 [DOI] [PubMed] [Google Scholar]
  • 38.Terrin G, Berni Canani R, Ambrosini A, et al. A semielemental diet (pregomin) as primary therapy for inducing remission in children with active Crohn’s disease. Ital J Pediatr. (2002) 28(5):401–5. [Google Scholar]
  • 39.Pigneur B, Lepage P, Mondot S, et al. Mucosal healing and bacterial composition in response to enteral nutrition vs steroid-based induction therapy—a randomised prospective clinical trial in children with Crohn’s disease. J Crohns Colitis. (2019) 13(7):846–55. 10.1093/ecco-jcc/jjy207 [DOI] [PubMed] [Google Scholar]
  • 40.Johnson T, Macdonald S, Hill SM, Thomas A, Murphy MS. Treatment of active Crohn’s disease in children using partial enteral nutrition with liquid formula: a randomised controlled trial. Gut. (2006) 55(3):356–61. 10.1136/gut.2004.062554 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Markowitz J, Grancher K, Kohn N, Lesser M, Daum F. A multicenter trial of 6-mercaptopurine and prednisone in children with newly diagnosed Crohn’s disease. Gastroenterology. (2000) 119(4):895–902. 10.1053/gast.2000.18144 [DOI] [PubMed] [Google Scholar]
  • 42.Levine A, Wine E, Assa A, et al. Crohn’s disease exclusion diet plus partial enteral nutrition induces sustained remission in a randomized controlled trial. Gastroenterology. (2019) 157(2):440–50.e8. 10.1053/j.gastro.2019.04.021 [DOI] [PubMed] [Google Scholar]
  • 43.Canani RB, Terrin G, Berni Canani R, et al. Short- and long-term therapeutic efficacy of nutritional therapy and corticosteroids in paediatric Crohn’s disease. Dig Liver Dis. (2006) 38(6):381–7. 10.1016/j.dld.2005.10.005 [DOI] [PubMed] [Google Scholar]
  • 44.Cohen-Dolev N, Sladek M, Hussey S, et al. Differences in outcomes over time with exclusive enteral nutrition compared with steroids in children with mild to moderate Crohn’s disease: results from the GROWTH CD study. J Crohns Colitis. (2018) 12(3):306–12. 10.1093/ecco-jcc/jjx150 [DOI] [PubMed] [Google Scholar]
  • 45.Rubio A, Pigneur B, Garnier-Lengliné H, et al. The efficacy of exclusive nutritional therapy in paediatric Crohn’s disease, comparing fractionated oral vs. continuous enteral feeding. Aliment Pharmacol Ther. (2011) 33(12):1332–9. 10.1111/j.1365-2036.2011.04662.x [DOI] [PubMed] [Google Scholar]
  • 46.Grover Z, Muir R, Lewindon P. Exclusive enteral nutrition induces early clinical, mucosal and transmural remission in paediatric Crohn’s disease. J Gastroenterol. (2014) 49(4):638–45. 10.1007/s00535-013-0815-0 [DOI] [PubMed] [Google Scholar]
  • 47.Grover Z, Burgess C, Muir R, Reber H, Lewindon PJ. Early mucosal healing with exclusive enteral nutrition is associated with improved outcomes in newly diagnosed children with luminal Crohn’s disease. J Crohns Colitis. (2016) 10(10):1159–64. 10.1093/ecco-jcc/jjw075 [DOI] [PubMed] [Google Scholar]
  • 48.Lee D, Baldassano RN, Otley AR, et al. Comparative effectiveness of nutritional and biological therapy in north American children with active Crohn’s disease. Inflamm Bowel Dis. (2015) 21(8):1786–93. 10.1097/MIB.0000000000000426 [DOI] [PubMed] [Google Scholar]
  • 49.Day AS, Whitten KE, Sidler M, Lemberg DA. Systematic review: nutritional therapy in paediatric Crohn’s disease. Aliment Pharmacol Ther. (2008) 27(4):293–307. 10.1111/j.1365-2036.2007.03578.x [DOI] [PubMed] [Google Scholar]
  • 50.Hojsak I, Pavić AM, Mišak Z, Kolaček S. Risk factors for relapse and surgery rate in children with Crohn’s disease. Eur J Pediatr. (2014) 173(5):617–21. 10.1007/s00431-013-2230-1 [DOI] [PubMed] [Google Scholar]
  • 51.Turner D, Grossman AB, Rosh J, et al. Methotrexate following unsuccessful thiopurine therapy in pediatric Crohn’s disease. Am J Gastroenterol. (2007) 102(12):2804–12. 10.1111/j.1572-0241.2007.01474.x [DOI] [PubMed] [Google Scholar]
  • 52.Willot S, Noble A, Deslandres C. Methotrexate in the treatment of inflammatory bowel disease: an 8-year retrospective study in a Canadian pediatric IBD center. Inflamm Bowel Dis. (2011) 17(12):2521–6. 10.1002/ibd.21653 [DOI] [PubMed] [Google Scholar]
  • 53.Hojsak I, Kolacek S, Hansen LF, et al. Long-term outcomes after elective ileocecal resection in children with Crohn’s disease. J Pediatr Gastroenterol Nutr. (2015) 60(4):509–14. [DOI] [PubMed] [Google Scholar]
  • 54.Riello L, Talbotec C, Garnier-Lengliné H, et al. Tolerance and efficacy of azathioprine in pediatric Crohn’s disease. Inflamm Bowel Dis. (2011) 17(10):2138–43. 10.1002/ibd.21612 [DOI] [PubMed] [Google Scholar]
  • 55.Duncan H, Buchanan E, Cardigan T, et al. A retrospective study showing maintenance treatment options for paediatric CD in the first year following diagnosis after induction of remission with EEN: supplemental enteral nutrition is better than nothing!. BMC Gastroenterol. (2014) 14:50. 10.1186/1471-230X-14-50 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Colombel JF, Rutgeerts P, Reinisch W, et al. Early mucosal healing with infliximab is associated with improved long-term clinical outcomes in ulcerative colitis. Gastroenterology. (2011) 141(4):1194–201. 10.1053/j.gastro.2011.06.054 [DOI] [PubMed] [Google Scholar]
  • 57.Shah SC, Colombel JF, Sands BE, Narula N. Mucosal healing is associated with improved long-term outcomes of patients with ulcerative colitis: a systematic review and meta-analysis. Clin Gastroenterol Hepatol. (2016) 14(9):1245–55.e8. 10.1016/j.cgh.2016.01.015 [DOI] [PubMed] [Google Scholar]
  • 58.Ashton JJ, Ennis S, Beattie RM. Early-onset paediatric inflammatory bowel disease. Lancet Child Adolesc Health. (2017) 1(1):S2352-4642(17)30017-2. 10.1016/S2352-4642(17)30017-2 [DOI] [PubMed] [Google Scholar]
  • 59.Pappa H, Thayu M, Sylvester F, Leonard M, Zemel B, Gordon C. Skeletal health of children and adolescents with inflammatory bowel disease. J Pediatr Gastroenterol Nutr. (2011) 53(1):11–25. 10.1097/MPG.0b013e31821988a3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Werkstetter KJ, Schatz SB, Alberer M, Prell C, Koletzko S. Influence of exclusive enteral nutrition therapy on bone density and geometry in newly diagnosed pediatric Crohn’s disease patients. Ann Nutr Metab. (2013) 63(1–2):10–16. 10.1159/000350369 [DOI] [PubMed] [Google Scholar]
  • 61.Gerasimidis K, McGrogan P, Edwards CA. The aetiology and impact of malnutrition in paediatric inflammatory bowel disease. J Hum Nutr Diet. (2011) 24(4):313–26. 10.1111/j.1365-277X.2011.01171.x [DOI] [PubMed] [Google Scholar]
  • 62.Mack DR, Benchimol EI, Critch J, et al. Canadian Association of gastroenterology clinical practice guideline for the medical management of pediatric luminal Crohn’s disease. J Can Assoc Gastroenterol. (2019) 2(3):e35–63. 10.1093/jcag/gwz018 [DOI] [PMC free article] [PubMed] [Google Scholar]

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Supplementary Materials

Supplementaryfile1.docx (1.9MB, docx)

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.


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